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A Python library to describe abstract workflows for distributed data-intensive applications

DEEP training dashboard

Dockerfiles to build customized versions of TF

Leverage the flexibility of Jupyterlab through the power of your NVIDIA GPU to run your code from Tensorflow and Pytorch in collaborative notebooks on the GPU.

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work. Forked from http://drivendata.github.io/cookiecutter-data-science/

Seed image classifier with Tensorflow/Keras.

For developing EUCAIM specific plugins

A Container Based Workflow for Distributed Training of Deep Learning Algorithms in HPC Clusters

Generic container for image classification using tensorflow

Plant images classifier based on Tensorflow/Keras.

DEEP as a Service MODS container

Classify birds species from sound files.

DEEP as a Service Speech to Text container

Module with a python implementation of posenet using Tensorflow